Project description DEENESFRITPL Integrating cell biology experiments in a box Results from cell biology experiments are inherently noisy due to cell-to-cell variability in biological processes. To address this issue, the EU-funded CellsBox project will develop an integrated cell culture and imaging unit that provides information at the single-cell level. The idea is to offer a systematic and reproducible system for conducting cell biology experiments that can provide real-time information. The automated CellsBox system will also be able to accommodate deep learning and AI technologies in the analysis, further advancing the types of experiments that can be undertaken. Implementation of this disruptive technology will assist cellular investigation at an unprecedented level. Show the project objective Hide the project objective Objective "Based on research from ERC CoG HydroSync where we developed both hardware and software approaches to cell imaging, we are in the position to develop translationally a cell culture and imaging unit, with integrated modular hardware and analysis software allowing automated robust performance. This promises to not just significantly bring down the costs for a broad spectrum of cell biology and single cell imaging experiments. It will also make these experiments more reproducible, systematic and easily accessible in standardised fashion. Perhaps most important of all, by designing in an integrated (whilst modular architecture) system all the components of the experiment (optics, mechanics, cell environment and fluids control, cell sample chambers, analysis), we make it possible to rapidly feedback information on the state of the sample into actions by any of the other modules, thus allowing a new space of experimental design. This automation in running the experimental stage of cell biology, microbiology, infectious disease models, early embryo developmental work, etc (i.e. any of the many situations where one aims to follow the properties of individual cells) also aligns to the current revolution triggered by machine and deep learning approaches. We can imagine a day when integrated experimental ""CellsBoxes"" perform, in a hypothesis-driven optimised and tireless fashion, a battery of experiments that today would simply be inconceivable. This project addresses one of the experimental bottlenecks that still make too much of biological and medical research subject to bias and poor reproducibility, and change the nature of point-of-care cell tissue analysis. It will be disruptive in the current landscape of optical cell imaging, a market > $1bn globally." Fields of science natural sciencescomputer and information sciencessoftwarenatural sciencesbiological sciencescell biologynatural sciencesphysical sciencesopticsnatural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learningnatural sciencesbiological sciencesmicrobiology Programme(s) H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC) Main Programme Topic(s) ERC-2018-PoC - ERC Proof of Concept Grant Call for proposal ERC-2018-PoC See other projects for this call Funding Scheme ERC-POC - Proof of Concept Grant Host institution THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE Net EU contribution € 149 931,00 Address TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge United Kingdom See on map Region East of England East Anglia Cambridgeshire CC Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 149 931,00 Beneficiaries (1) Sort alphabetically Sort by Net EU contribution Expand all Collapse all THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE United Kingdom Net EU contribution € 149 931,00 Address TRINITY LANE THE OLD SCHOOLS CB2 1TN Cambridge See on map Region East of England East Anglia Cambridgeshire CC Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 149 931,00
